Results 241 to 250 of about 25,763 (311)

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Development and external validation of a musculoskeletal ultrasound-based prediction model for limited shoulder range of motion in nursing staff with neck-shoulder pain: a cross-sectional study. [PDF]

Front Public Health
Zhao R, Zhang H, Zhang J, Zhang L, Wan Y.   +4 more
europepmc   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Whole Body Kinetic Chain Muscle Activity during selected Rehabilitation Exercises in Healthy and Injured Overhead Throwing Athletes. [PDF]

Int J Sports Phys Ther
Owens LP, Coyles G, Khaiyat O.
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

High-Precision Indoor VLP Scheme Based on the Synergy of SMO Multipath Suppression and Intelligent Algorithms. [PDF]

Sensors (Basel)
Yang Y, Zhang J, Liu S.
europepmc   +1 more source

Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting

Energy Science &Engineering, EarlyView.
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che, Bo Wang, Keru Chen, Siqi Yan, Fei Qi   +4 more
wiley   +1 more source

Quantum-enhanced privacy aggregation for healthcare monitoring in wireless body area networks. [PDF]

Sci Rep
Othman SB, Ali O.
europepmc   +1 more source

UAVs detect hazards with multi-directional Mamba on overhead transmission lines. [PDF]

Sci Rep
Xu C, Zheng C, Zhang J.
europepmc   +1 more source

Lightweight Power Line Defect Detection Based on Improved YOLOv8n. [PDF]

Sensors (Basel)
Yin Y, Liu X, Wu K, Xu R, Zheng J, Mei F.   +5 more
europepmc   +1 more source